Per Hall
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Kamila Czene (166 shared papers)Paul William Dickman (16 shared papers)Jonas Bergh (24 shared papers)Sarah C Darby (7 shared papers)Paul McGale (7 shared papers)Mikael Eriksson (85 shared papers)Marianne Ewertz (6 shared papers)Maj‐Britt Jensen (4 shared papers)
- Journals
- Breast Cancer Research (62 papers)International Journal of Cancer (30 papers)JNCI Journal of the National Cancer Institute (27 papers)British Journal of Cancer (25 papers)Nature Genetics (24 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Per Hall
620 papers receiving 59.0k citations
Per Hall's Hit Papers
Peers
Comparison fields: 5 of 229
- Genetics 18.9k
- Cancer Research 8.3k
- Oncology 8.9k
- Pathology and Forensic Medicine 4.9k
- Reproductive Medicine 2.0k
Countries citing papers authored by Per Hall
This map shows the geographic impact of Per Hall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Per Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Hall more than expected).
Fields of papers citing papers by Per Hall
This network shows the impact of papers produced by Per Hall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Per Hall. The network helps show where Per Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Per Hall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 631 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3477 |
| 2 | Risk of Ischemic Heart Disease in Women after Radiotherapy for Breast Cancer Hit paper breakdown → | 2013 | 3074 |
| 3 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2419 |
| 4 | Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis Hit paper breakdown → | 2011 | 2238 |
| 5 | Genome-wide association study identifies novel breast cancer susceptibility loci Hit paper breakdown → | 2007 | 1916 |
| 6 | Hundreds of variants clustered in genomic loci and biological pathways affect human height Hit paper breakdown → | 2010 | 1546 |
| 7 | Defining the role of common variation in the genomic and biological architecture of adult human height Hit paper breakdown → | 2014 | 1377 |
| 8 | Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis Hit paper breakdown → | 2013 | 1132 |
| 9 | An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival Hit paper breakdown → | 2005 | 1023 |
| 10 | Association analysis identifies 65 new breast cancer risk loci Hit paper breakdown → | 2017 | 1013 |
| 11 | Large-scale genotyping identifies 41 new loci associated with breast cancer risk Hit paper breakdown → | 2013 | 908 |
| 12 | Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes Hit paper breakdown → | 2018 | 765 |
| 13 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 761 |
| 14 | 2005 | 648 | |
| 15 | RAD51B in Familial Breast Cancer Hit paper breakdown → | 2016 | 642 |
| 16 | Second Cancers Among 40 576 Testicular Cancer Patients: Focus on Long-term Survivors Hit paper breakdown → | 2005 | 638 |
| 17 | MicroRNA Related Polymorphisms and Breast Cancer Risk Hit paper breakdown → | 2014 | 610 |
| 18 | GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment Hit paper breakdown → | 2013 | 607 |
| 19 | Clinically significant prognostic factors for differentiated thyroid carcinoma Hit paper breakdown → | 2005 | 583 |
| 20 | 2006 | 579 |
About Per Hall
Per Hall is a scholar working on Genetics, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 631 papers that have together received 60.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (130 papers), Genetic Associations and Epidemiology (81 papers), Digital Radiography and Breast Imaging (70 papers), Cancer Risks and Factors (48 papers), Breast Cancer Treatment Studies (46 papers), Global Cancer Incidence and Screening (44 papers), Radiation Dose and Imaging (35 papers) and AI in cancer detection (28 papers). The work is most often cited by research in Genetics (18.9k citations), Cancer Research (8.3k citations), Oncology (8.9k citations), Pathology and Forensic Medicine (4.9k citations) and Reproductive Medicine (2.0k citations). Per Hall has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Kamila Czene, Paul William Dickman, Jonas Bergh, Sarah C Darby, Paul McGale, Mikael Eriksson, Marianne Ewertz, Maj‐Britt Jensen, Yudi Pawitan and Carolyn Taylor. Their work appears in journals such as Breast Cancer Research, International Journal of Cancer, JNCI Journal of the National Cancer Institute, British Journal of Cancer and Nature Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.